As you might know I am a big fan of talking about various positions in the data science space. I have talked about the tribes of data scientists in the past, as well as the data science architect. The Analytics Engineer acts as the bridge between data engineers and data Read more…
AI promises to improve many parts of our lives and society. However, is it really going to positively impact the economy? On this podcast, I discuss a concept called “So-so AI”, which might completely change the way we view AI and its impact on the economy.
Is AI going to overtake humans in most tasks? Are jobs threatened? We have heard many voices over the last few years warning against huge social and economic changes coming as the result of automation. But what is AI really as smart as we think it is? On this podcast Read more…
Causal inference is one of the most exciting topics in machine learning. Some prominent researchers, like Judea Pearl believe that we will never be able to create true AI until we crack this. In this podcast we discuss more about this interesting topic.
Does history repeat itself? How would World War II have turned out if different strategic decisions had been taken? How would civilisation have unfolded if prominent figures hadn’t been born? Historians like to speculate about these kind of questions. But what if there was a data-driven way to study these Read more…
It goes without saying that AI is revolutionising multiple industries, and human resources is one of them. We’ve talked in the past about how AI will disrupt HR. In this podcast episode, I delve into the subject in more depth.
Forecasting is a difficult problem, and something we’ve talked about in the past. This has come to the forefront again now that scientists found it very challenging to predict how the COVID-19 epidemic will unfold. On this episode I explain the reasons that determine whether forecasts can be accurate or Read more…
A recent article in the Significance magazine (https://www.significancemagazine.com/) raised the opinion that many statisticians are in roles that do not really add any value to society. If that’s true, then there are tremendous implications that need to be discussed. On this episode, we talk about this issue, and unravel the Read more…
Google recently reviewed their 2019 AI research. Lots of things happening in the area of deep learning, and some progress which gets us closer to general AI. Also, some interesting work on ethical and interpretable AI. In this episode I am summarising the article and providing my own opinion on Read more…
Data science consists of different sub-fields. This can be very confusing for newcomers. I’ve written in the past about things like the differences between AI and machine learning, or the differences between statistics and machine learning. It is important to have a good understanding of the fields that data science Read more…